Advances of Computational Intelligence in Industrial Systems

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Liu, Ying (Επιμελητής έκδοσης), Sun, Aixin (Επιμελητής έκδοσης), Loh, Han Tong (Επιμελητής έκδοσης), Lu, Wen Feng (Επιμελητής έκδοσης), Lim, Ee-Peng (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2008.
• Σειρά: Studies in Computational Intelligence, 116
• Θέματα: Computer science.; Artificial intelligence.; Applied mathematics.; Engineering mathematics.; Computer Science.; Artificial Intelligence (incl. Robotics).; Appl.Mathematics/Computational Methods of Engineering.

Computational Intelligence (CI) has emerged as a rapid growing field over the past decade. Its various techniques have been recognized as powerful tools for intelligent information processing, decision making and knowledge management. Advances of Computational Intelligence in Industrial Systems repo...

Πίνακας περιεχομένων:

• Particle Swarm Optimization and Differential Evolution Algorithms: Technical Analysis, Applications and Hybridization Perspectives
• Web Services, Policies, and Context: Concepts and Solutions
• Data Mining with Privacy Preserving in Industrial Systems
• Kernels for Text Analysis
• Discovering Time-Constrained Patterns from Long Sequences
• Gauging Image and Video Quality in Industrial Applications
• Model Construction for Knowledge-Intensive Engineering Tasks
• Artificial Intelligence Applied to the Modeling and Implementation of a Virtual Medical Office
• DICOM-Based Multidisciplinary Platform for Clinical Decision Support: Needs and Direction
• Improving Neural Network Promoter Prediction by Exploiting the Lengths of Coding and Non-Coding Sequences
• Artificial Immune Systems for Self-Nonself Discrimination: Application to Anomaly Detection
• Computational Intelligence Applied to the Automatic Monitoring of Dressing Operations in an Industrial CNC Machine
• Automated Novelty Detection in Industrial Systems
• Multiway Principal Component Analysis (MPCA) for Upstream/Downstream Classification of Voltage Sags Gathered in Distribution Substations
• Applications of Neural Networks to Dynamical System Identification and Adaptive Control
• A Multi-Objective Multi-Colony Ant Algorithm for Solving the Berth Allocation Problem
• Query Rewriting for Semantic Multimedia Data Retrieval.